10 citations · 28 across the 10 of their papers we have counts for
10 papers · 1 filter
MmWave Mapping and SLAM for 5G and Beyond
Yu Ge, Ossi Kaltiokallio, Hyowon Kim +5
Device localization and radar-like mapping are at the heart of integrated sensing and communication, enabling not only new services and applications, but can also improve communica…
PMBM-based SLAM Filters in 5G mmWave Vehicular Networks
Hyowon Kim, Karl Granström, Lennart Svensson +2
Radio-based vehicular simultaneous localization and mapping (SLAM) aims to localize vehicles while mapping the landmarks in the environment. We propose a sequence of three Poisson…
A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM
Yu Ge, Ossi Kaltiokallio, Hyowon Kim +6
Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment and the prop…
Atomic Norm Minimization-based Low-Overhead Channel Estimation for RIS-aided MIMO Systems
Hyeonjin Chung, Sunwoo Kim
Large beam training overhead has been considered as one of main issues in the channel estimation for reconfigurable intelligent surface (RIS)-aided systems. In this paper, we propo…
Cooperative mmWave PHD-SLAM with Moving Scatterers
Hyowon Kim, Jaebok Lee, Yu Ge +3
Using the multiple-model (MM) probability hypothesis density (PHD) filter, millimeter wave (mmWave) radio simultaneous localization and mapping (SLAM) in vehicular scenarios is sus…
Experimental Demonstration of Location-aware Beam Alignment
Junyeol Hong, Hyeonjin Chung, Sunwoo Kim
The main focus of beam alignment is to find the optimal beam which yields the largest received signal strength (RSS) with faster speed.In this paper, we demonstrate an efficient be…